CONSIDERACIÓN DE NUEVAS INVERSIONES

A PIV “wiki” has been built on the following site (www.piv-online.org) with input from the VT and USU team. Thus far, this wiki concentrates on best practices, although it is built to become much broader, as shown in Figure 32. Shortly, the team will invite several international PIV experts to contribute to the wiki. Once this process has had sufficient time, a broader announcement will be made.

Figure 34. Screen shot from PIV-Online wiki.

The remaining task for this year is the cross testing of the methods. This effort is currently ongoing and involves testing and comparing each method against known flows using real experimental data, including that obtained from the Bypass Flow Experiment. As this data is three-component, the INL’s interest in PIV uncertainty extends to SPIV measurements and is scheduled to be addressed in the upcoming year. It is important to note that SPIV works by computing a two-component velocity field from each camera and then using calibration images to map locations in one camera’s view to the other camera’s view. The uncertainty

of an SPIV measurement can thus be assessed by assessing the uncertainty of each of the two-component fields, decomposing these results into a single three-component uncertainty field, and then adding estimates of biases from the stereo calibration process.

5.4 Summary

The main objective of this study was to examine current uncertainty quantification methodologies for the MIR flow facility, which is needed for data quality assessment and for CFD code validation. Despite extensive research on the accuracy of various DPIV implementations, to date there is no accepted methodology for quantifying the uncertainty associated with individual vector evaluations. The current effort helps develop a framework for PIV uncertainty that focuses on the PIV algorithm, which arguably is one of the most challenging and complex parameters of the total uncertainty, and must be quantified with other important factors. Two methodologies were introduced to establish uncertainty for PIV measurements in the MIR facility; specifically, the Uncertainty Surface and Cross-correlation Peak Ratio Methods that are currently being developed by USU and VT. These uncertainty quantification methodologies can potentially lead to higher quality MIR data with accurate and reliable uncertainty quantification. They can be a

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Appendix A